Simplified method and its implementation on computation of intensity map

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (19): 203-206.

• 图形、图像、模式识别 • Previous Articles Next Articles

Simplified method and its implementation on computation of intensity map

LIU Ying，HAN Zhongming，DAI Mingli，HUANG Jinhui，SUN Jianzhi

College of Computer & Information Engineering，Beijing Technology & Business University，Beijing 100048，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-07-01 Published:2011-07-01

一种简化的调强强度图谱计算方法及实现

刘迎，韩忠明，戴明利，黄今慧，孙践知

北京工商大学计算机与信息工程学院，北京 100048

Abstract

Abstract: Optimization is the kernel of Intensity Modulated Radiation Therapy（IMRT） software system.Fuzzy weight function algorithm is used for optimization，but it suffers a shortcoming of sawtooth dose intensity map distribution.A simplified method based on fuzzy weight function is proposed in this paper.3D taper beam is replaced with line beam in the new method，which can avoid sawtooth phenomenon.The experimental results show the efficiency and effectiveness of the new method.

Key words: intensity map, optimize, Intensity Modulated Radiation Therapy（IMRT）, Radio Therapy Planning System（RTPS）

摘要： 优化算法是适形调强放射治疗（IMRT）软件系统的核心。模糊权重算法是一种优化算法，但该算法存在一个缺陷——剂量强度图谱分布上有锯齿现象。在原有模糊权重优化算法基础上提出一种简化方法。采用线性主射束替代三维锥形射束的方法消除了锯齿现象。实验结果表明，该算法在优化速度和优化结果上有很大的改进。

关键词: 调强图谱, 优化, 适形调强放射治疗, 放射治疗计划系统

LIU Ying，HAN Zhongming，DAI Mingli，HUANG Jinhui，SUN Jianzhi. Simplified method and its implementation on computation of intensity map[J]. Computer Engineering and Applications, 2011, 47(19): 203-206.

刘迎，韩忠明，戴明利，黄今慧，孙践知. 一种简化的调强强度图谱计算方法及实现[J]. 计算机工程与应用, 2011, 47(19): 203-206.

[1]	SU Jiali, WU Zhongdong, DING Longbin, LIU Feifei. Research on LTE-R Handover Algorithm Based on IGWO-RBF [J]. Computer Engineering and Applications, 2020, 56(8): 74-80.
[2]	GUO Mingang, GONG He. Research on AlexNet Improvement and Optimization Method [J]. Computer Engineering and Applications, 2020, 56(20): 124-131.
[3]	WANG Yadong, SHI Quan, YOU Zhifeng, SONG Weixing. Differential Evolutionary Quasi-Oppositional Multi-objective Ant Lion Optimizer [J]. Computer Engineering and Applications, 2020, 56(13): 156-163.
[4]	WANG Qiuping，WANG Mengna，WANG Xiaofeng. Improved Grey Wolf Optimizer with Convergence Factor and Proportional Weight [J]. Computer Engineering and Applications, 2019, 55(21): 60-65.
[5]	HU Xiaohui, GONG Junhui, XU Ning, DU Yongwen. Cross-Layer Optimized WSN Energy Balanced Topology Game Algorithm [J]. Computer Engineering and Applications, 2019, 55(14): 69-75.
[6]	WEN Zongzhou, LI Lu, LI Limin, GAO Yuanping, CHENG Shaokang, LIU Deyang. Study on Landslide Prediction Model Based on Optimized GD-Fuzzy Rule [J]. Computer Engineering and Applications, 2019, 55(10): 250-255.
[7]	CUI Minglang, DU Haiwen, WEI Zhenglei, LI Cong. Research on improved strategy for multi-objective grey wolf optimizer [J]. Computer Engineering and Applications, 2018, 54(5): 156-164.
[8]	LIU Dong, NIE Rencan, ZHOU Dongming, HOU Ruichao, XIONG Lei. Image fusion algorithm combining NonSubsampled Shearlets Transform and Genetic Algorithm optimization parameters of Pulse Coupled Neural Network [J]. Computer Engineering and Applications, 2018, 54(19): 158-163.
[9]	SHEN Zexing, PENG Yunjian, YUE Xishun. Algorithm for load-balancing of clustered servers dealing with mixed-pages requests [J]. Computer Engineering and Applications, 2018, 54(18): 99-104.
[10]	CHEN Chuang1, RYAD Chellali1, XING Yin2. Research on speech emotion recognition based on improved GWO optimized SVM [J]. Computer Engineering and Applications, 2018, 54(16): 113-118.
[11]	ZHANG Xiaoqing1，2, ZHANG Yuye1, HAO Haiyan1. Research of hybrid grey wolf optimizer in global optimization [J]. Computer Engineering and Applications, 2018, 54(15): 155-160.
[12]	XU Dayu1, 2, DING Shuai2. Research on improved GWO-optimized SVM-based short-term load prediction for cloud computing [J]. Computer Engineering and Applications, 2017, 53(7): 68-73.
[13]	ZHANG Jing, GAO Yuelin. SOA and BMO for flexible layer shop scheduling research [J]. Computer Engineering and Applications, 2017, 53(17): 254-259.
[14]	SUN Tianyu, SHI Zheng. Research on design of FIR filter based on improved genetic algorithm [J]. Computer Engineering and Applications, 2017, 53(17): 108-111.
[15]	HUANG Qin, LIU Yang, LING Rui. Optimized control for dual active bridge converter based on uncertain parameters [J]. Computer Engineering and Applications, 2016, 52(3): 247-251.

Simplified method and its implementation on computation of intensity map

一种简化的调强强度图谱计算方法及实现

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics